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Nvidia CEO Jensen Huang Says Kids Don't Need to Memorize Multiplication Tables

Nvidia CEO Jensen Huang Says Kids Don't Need to Memorize Multiplication Tables

Nvidia CEO Jensen Huang said children no longer need to memorize multiplication tables, arguing that Generation Alpha's reliance on artificial intelligence is a feature, not a bug. He made the comments during a podcast conversation with Ezra Klein.

Huang's position puts him at odds with neuroscientists and educators who have cautioned against letting AI handle routine computation for young students.

What Huang actually said

Huang framed the issue as a question of what deserves human mental bandwidth. Offloading routine arithmetic to AI, he argued, should free people to focus on systemic thinking, creativity, and critical analysis. In his view, the next generation growing up with AI tools is not a problem to be solved but a reality to be embraced.

The CEO didn't call for banning math drills or suggest that students should never learn arithmetic. His argument is narrower: memorization of multiplication tables is the kind of rote task that machines now handle cheaply, and humans can spend their effort elsewhere.

The pushback from learning experts

Neuroscientists and educators have warned that relying on AI for routine computation could undermine the cognitive foundations that support higher-order math skills. The specific warnings weren't detailed in the original report, but the concern is not new: foundational arithmetic is widely treated as a building block for later problem-solving.

Huang's comments land in the middle of a broader debate about AI in classrooms, one that has split parents, teachers, and tech executives. The Nvidia chief is not a neutral observer — his company sells the chips that power many of the AI systems now entering schools.

Why a chip CEO is weighing in on math class

Huang has become one of the most visible promoters of AI's benefits, and his podcast appearance fits a pattern of executives arguing that AI adoption is inevitable and beneficial. For Nvidia, a workforce comfortable with AI tools is also a market for the hardware that runs them.

That doesn't make his argument wrong, but it does shape how it should be read. The claim that memorization is obsolete is a claim about priorities, not just technology.

The classroom reality

Schools are already grappling with AI tools in ways that make Huang's hypothetical feel less abstract. Teachers report students using chatbots for homework, and districts have scrambled to set policies. The multiplication-table question is a small, concrete version of a much larger one: which skills should students still build themselves, and which can be delegated?

Huang's answer is clear. The experts who disagree haven't finished making their case, and the research on long-term effects is still developing.

The next phase of the debate will likely play out in school districts and state education departments as they write AI policies for the coming school year. Huang's comments give AI-friendly administrators a prominent name to cite — and give critics a clear target.